Patents by Inventor Daniel LAZAREV

Daniel LAZAREV has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • SYSTEM AND METHOD FOR IMPROVING EFFICIENCY IN NATURAL LANGUAGE QUERY PROCESSING UTILIZING LANGUAGE MODEL
    Publication number: 20260064672
    Abstract: A system and method for generating a database query based on a natural language query is presented. The method includes receiving an unstructured natural language query directed to a security database, wherein the security database includes a representation of a computing environment; selecting a group of database queries from a plurality of preexisting database queries based on a similarity to the unstructured natural language query; generating a context for processing by a language model, the context including the selected group of database queries, an identified technology, and a schema of the computing environment; processing a prompt and the generated context utilizing the language model to generate a second database query; and executing the second database query on the security database.
    Type: Application
    Filed: November 10, 2025
    Publication date: March 5, 2026
    Applicant: Wiz, Inc.
    Inventors: Daniel LAZAREV, Barak SHARONI, Bar MAGNEZI
  • System and method for improving efficiency in natural language query processing utilizing language model
    Patent number: 12493615
    Abstract: A system and method for generating a database query based on a natural language query is presented. The method includes receiving an unstructured natural language query directed to a security database, wherein the security database includes a representation of a computing environment; selecting a group of database queries from a plurality of preexisting database queries based on a similarity to the unstructured natural language query; generating a context for processing by a language model, the context including the selected group of database queries, an identified technology, and a schema of the computing environment; processing a prompt and the generated context utilizing the language model to generate a second database query; and executing the second database query on the security database.
    Type: Grant
    Filed: March 27, 2025
    Date of Patent: December 9, 2025
    Assignee: Wiz, Inc.
    Inventors: Daniel Lazarev, Barak Sharoni, Bar Magnezi
  • SYSTEM AND METHOD FOR IMPROVING EFFICIENCY IN NATURAL LANGUAGE QUERY PROCESSING UTILIZING LANGUAGE MODEL
    Publication number: 20250225128
    Abstract: A system and method for generating a database query based on a natural language query is presented. The method includes receiving an unstructured natural language query directed to a security database, wherein the security database includes a representation of a computing environment; selecting a group of database queries from a plurality of preexisting database queries based on a similarity to the unstructured natural language query; generating a context for processing by a language model, the context including the selected group of database queries, an identified technology, and a schema of the computing environment; processing a prompt and the generated context utilizing the language model to generate a second database query; and executing the second database query on the security database.
    Type: Application
    Filed: March 27, 2025
    Publication date: July 10, 2025
    Applicant: Wiz, Inc.
    Inventors: Daniel LAZAREV, Barak SHARONI, Bar MAGNEZI